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在 COVID-19 大流行期间,针对疫苗优先接种的风险因素。

Risk factor targeting for vaccine prioritization during the COVID-19 pandemic.

机构信息

Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, 94110, USA.

Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

出版信息

Sci Rep. 2022 Feb 23;12(1):3055. doi: 10.1038/s41598-022-06971-5.

Abstract

A key public health question during any disease outbreak when limited vaccine is available is who should be prioritized for early vaccination. Most vaccine prioritization analyses only consider variation in risk of infection and death by a single risk factor, such as age. We provide a more granular approach with stratification by demographics, risk factors, and location. We use this approach to compare the impact of different COVID-19 vaccine prioritization strategies on COVID-19 cases, deaths and disability-adjusted life years (DALYs) over the first 6 months of vaccine rollout, using California as a case example. We estimate the proportion of cases, deaths and DALYs averted relative to no vaccination for strategies prioritizing vaccination by a single risk factor and by multiple risk factors (e.g. age, location). When targeting by a single risk factor, we find that age-based targeting averts the most deaths (62% for 5 million individuals vaccinated) and DALYs (38%) and targeting essential workers averts the least deaths (31%) and DALYs (24%) over the first 6 months of rollout. However, targeting by two or more risk factors simultaneously averts up to 40% more DALYs. Our findings highlight the potential value of multiple-risk-factor targeting of vaccination against COVID-19 and other infectious diseases, but must be balanced with feasibility for policy.

摘要

在疾病爆发时,疫苗供应有限,优先给谁接种疫苗是一个关键的公共卫生问题。大多数疫苗优先排序分析仅考虑单一风险因素(如年龄)导致的感染和死亡风险的变化。我们提供了一种更细致的方法,按人口统计学、风险因素和位置进行分层。我们使用这种方法来比较不同的 COVID-19 疫苗优先排序策略对 COVID-19 病例、死亡和残疾调整生命年(DALY)的影响,以加利福尼亚州为例。我们估计了相对于不接种疫苗,针对单一风险因素和多个风险因素(如年龄、位置)进行疫苗接种优先排序的策略可以避免的病例、死亡和 DALY 的比例。当针对单一风险因素时,我们发现基于年龄的目标接种可以避免最多的死亡(500 万人接种可避免 62%的死亡)和 DALY(38%),而针对基本工人的目标接种可以避免最少的死亡(31%)和 DALY(24%)。然而,同时针对两个或更多风险因素可以避免多达 40%的 DALY。我们的研究结果强调了针对 COVID-19 和其他传染病进行多风险因素疫苗接种的潜在价值,但必须与政策的可行性相平衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08ca/8866501/8bbeaa7c3e5c/41598_2022_6971_Fig1_HTML.jpg

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